{"id":"W2067571320","doi":"10.1136/jech.2004.030361","title":"Income distribution, public services expenditures, and all cause mortality in US states","year":2005,"lang":"en","type":"article","venue":"Journal of Epidemiology & Community Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Kwantlen Polytechnic University; University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Alberta Heritage Foundation for Medical Research; Fondation pour la Recherche Médicale","keywords":"Per capita; Per capita income; Inequality; Personal income; Medicine; Economic inequality; Public health; Gini coefficient; Mortality rate; Demography; Demographic economics; Economics; Economic growth; Environmental health; Population; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02848665,0.0001381788,0.0007996588,0.0001263811,0.0009887852,0.00003186743,0.0005172867,0.0001943406,0.00005616921],"category_scores_gemma":[0.002956272,0.0001170168,0.0000782413,0.0001397746,0.000384544,0.0005178318,0.0001261339,0.001434902,0.000002627816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008539471,"about_ca_system_score_gemma":0.0008983561,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3408518,"about_ca_topic_score_gemma":0.7387069,"domain_scores_codex":[0.9869813,0.01031076,0.001500207,0.0001247983,0.0002011327,0.0008818564],"domain_scores_gemma":[0.9925424,0.005203063,0.001011583,0.0003349903,0.0001389358,0.0007689852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001599115,0.0001272056,0.9771325,0.0001471186,0.00005103532,0.000002880685,0.004600961,0.00004468426,5.997584e-8,0.01481551,0.001775921,0.001286128],"study_design_scores_gemma":[0.0003071501,0.00008565382,0.8163777,0.00009864169,0.000009149159,0.00001109534,0.006270926,0.00004152766,1.400799e-7,0.005874196,0.1708519,0.00007193028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8753994,0.005869726,0.00009026197,0.1180318,0.0002330547,0.0001386966,0.00004745934,0.00001506487,0.0001745852],"genre_scores_gemma":[0.9523912,0.02433011,0.0004409379,0.0225144,0.000251407,0.000003198512,0.0000498781,0.000006224278,0.00001263064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3978551,"threshold_uncertainty_score":0.9872962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1464514806455439,"score_gpt":0.4676065503513672,"score_spread":0.3211550697058233,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}